Gender: Female 
Age: 35-44
Nationality: United States
Ethnicity: White / Caucasian 
Marital status: Single 
First language: English 
Religion: Christian 
Education: Undergraduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 6
Home: Own 
Employment: Self-employed part time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Father's occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Hobbies: Exercise;Watch sports 
Devices used daily: Laptop;Smartphone 
NLP tools known: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools used: Spell checker (i.e., correcting misspellings);Grammar checker (i.e., correcting grammar mistakes);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Sometimes
LLMs used: Google Gemini;Other MS COPILOT
LLM use cases: Paraphrasing or finding synonyms;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Analyze data;Get information about current events;Answering questions about general knowledge 
Contexts of LLM use: Work;Learning;Personal;Other (specify) Surveys Experiments
Prompt 1: Do Goverment Agencies hire Appraisal Trainees
Prompt 2: How can i find a Appraisal Supervisor that will accept my trainee certification
Prompt 3: Best ways to study for Notary exam
Prompt 4: Best jump rope mats
Prompt 5: Can i loose weight jump ropping
Prompt 6: How long do i have to jump rope to get fit
Prompt 7: why havent the JFK, RFK and MLK classified files been released earlier than 2025
Prompt 8: looking for the best recipe for she-crab soup
Prompt 9: what are the details of the keystone pipline
Prompt 10: looking for the best cabbage soup recipe
Comments: no